# devtools::install_github("derekmichaelwright/agData")
library(agData)

# Prep data
myCaption <- "www.dblogr.com/ or derekmichaelwright.github.io/dblogr/ | Data: CBC"
myColors1 <- c("darkred", "darkblue", "darkgreen")
myColors2 <- c("maroon4", "darkblue", "grey", "darkgoldenrod2", 
              "purple4", "black", "darkslategray4")
#
d1 <- read.csv("data_cbc_finances_1.csv")
d2 <- read.csv("data_cbc_finances_2.csv") %>% 
  mutate(Type = factor(Type, levels = unique(.$Type)))

d1 %>% filter(Year == 2021) %>% 
  mutate(Percent = 100* `Government.Funding` / (`Government.Funding` + Revenue) ) %>% 
  select(-Discrepancies)

# Plot
mp <- ggplot(d1, aes(x = Year, y = Revenue / 1000000000)) + 
  geom_col(color = "black", fill = "darkgreen", alpha = 0.7) +
  scale_x_continuous(minor_breaks = 2000:2022) +
  scale_color_manual(name = NULL, values = myColors1) +
  theme_agData(legend.position = "bottom") +
  labs(title = "CBC Revenue", x = NULL, 
       y = "Billion CAD", caption = myCaption)
ggsave("cbc_finances_03.png", width = 6, height = 4)

# Prep data
x1 <- d1 %>% 
  mutate(Profit = Revenue + Government.Funding - Expenses,
         Net = ifelse(Profit > 0, "Profit", "Loss") )
x2 <- d1 %>% 
  mutate(Profit = Revenue - Expenses,
         Net = ifelse(Profit > 0, "Profit", "Loss") )
myMin <- min(c(x1$Profit, x2$Profit)) / 1000000000
myMax <- max(c(x1$Profit, x2$Profit)) / 1000000000
# Plot
mp1 <- ggplot(x1, aes(x = Year, y = Profit / 1000000000, fill = Net)) + 
  geom_col(color = "black", alpha = 0.8) +
  scale_fill_manual(values = c("darkred", "darkgreen")) +
  scale_x_continuous(breaks = c(2001,2005,2010,2015,2020),
                     minor_breaks = 2000:2022) + 
  ylim(c(myMin,myMax)) +
  theme_agData(legend.position = "none", 
               axis.text.x = element_text(angle = 45, hjust = 1)) +
  labs(title = "CBC Finances",
       subtitle = "A) Net Profit With Government Funding", 
       y = "Billion CAD", x = NULL)
mp2 <- ggplot(x2, aes(x = Year, y = Profit / 1000000000, fill = Net)) + 
  geom_col(color = "black", alpha = 0.8) +
  scale_fill_manual(values = c("darkred","darkblue")) +
  scale_x_continuous(breaks = c(2001,2005,2010,2015,2020)) +
  ylim(c(myMin,myMax)) +
  theme_agData(legend.position = "none", 
               axis.text.x = element_text(angle = 45, hjust = 1)) +
  labs(subtitle = "B) Net Profit Without Government Funding", 
       y = "Billion CAD", x = NULL, caption = myCaption)
# Append
mp <- ggarrange(mp1, mp2, ncol = 2, align = "h")
ggsave("cbc_finances_04.png", width = 8, height = 4)

# Plot
mp <- ggplot(d2, aes(x = Group, y = Value, fill = Type)) +
  geom_col(color = "black", alpha = 0.7) +
  facet_grid(. ~ Year) +
  scale_fill_manual(name = NULL, values = myColors2) +
  scale_x_continuous(minor_breaks = NULL, breaks = NULL) +
  theme_agData(legend.position = "bottom",
               axis.text.x = element_blank(),
               axis.ticks.x = element_blank()) +
  labs(title = "CBC Finances", y = "Million Dollars", caption = myCaption)
ggsave("cbc_finances_05.png", width = 7, height = 7)

# Prep data
xx <- d1 %>% mutate(Percent = 100 * Government.Funding / (Revenue + Government.Funding))
# Plot
mp <- ggplot(xx, aes(x = Year, y = Percent)) +
  geom_line(color = "darkgreen", size = 1, alpha = 0.7) +
  geom_point(alpha = 0.7) +
  scale_y_continuous(minor_breaks = 59:76) +
  scale_x_continuous(minor_breaks = 2000:2022) +
  theme_agData() +
  labs(title = "CBC Finances", subtitle = "Percent Government Funding",
       y = "Percent", x = NULL, caption = myCaption)
ggsave("cbc_finances_06.png", width = 6, height = 4)

cost <- d1 %>% 
  filter(Year == 2019) %>% 
  pull(Government.Funding) 
pop <- agData_STATCAN_Population %>% 
  filter(Year == 2019, Area == "Canada") %>% 
  pull(Value) %>% mean()
cost / pop

# Prep data
pp <- agData_STATCAN_Population %>% filter(Area == "Canada", Month == 1)
xx <- d1 %>% left_join(pp, by = "Year") %>%
  mutate(Percent = Government.Funding / Value)
# Plot
mp <- ggplot(xx, aes(x = Year, y = Percent)) +
  geom_line(color = "darkgreen", size = 1, alpha = 0.7) +
  geom_point(alpha = 0.7) +
  scale_y_continuous(breaks = 29:37) +
  scale_x_continuous(minor_breaks = 2000:2022) +
  theme_agData() +
  labs(title = "CBC Finances", subtitle = "Government Funding Per Person",
       y = "CAD", x = NULL, caption = myCaption)
ggsave("cbc_finances_07.png", width = 6, height = 4)